Literature DB >> 20097028

Influence of DNA isolation on Q-PCR-based quantification of methanogenic Archaea in biogas fermenters.

I Bergmann1, K Mundt, M Sontag, I Baumstark, E Nettmann, M Klocke.   

Abstract

Quantitative real-time PCR (Q-PCR) is commonly applied for the detection of certain microorganisms in environmental samples. However, some environments, like biomass-degrading biogas fermenters, are enriched with PCR-interfering substances. To study the impact of the DNA extraction protocol on the results of Q-PCR-based analysis of the methane-producing archaeal community in biogas fermenters, nine different protocols with varying cell disruption and DNA purification approaches were tested. Differences in the quantities of the isolated DNA and the purity parameters were found, with the best cell lysis efficiencies being obtained by a combined lysozyme/SDS-based lysis. When DNA was purified by sephacryl columns, the amount of DNA decreased by one log cycle but PCR inhibitors were eliminated sufficiently. In the case of detection of methanogenic Archaea, the chosen DNA isolation protocol strongly influenced the Q-PCR-based determination of 16S rDNA copy numbers. For example, with protocols including mechanical cell disruption, the 16S rDNA of Methanobacteriales were predominantly amplified (81-90% of the total 16S rDNA copy numbers), followed by the 16S rDNA of Methanomicrobiales (9-18%). In contrast, when a lysozyme/SDS-based cell lysis was applied, the 16S rDNA copy numbers determined for these two orders were the opposite (Methanomicrobiales 82-95%, Methanobacteriales 4-18%). In extreme cases, the DNA isolation method led to discrimination of some groups of methanogens (e.g. members of the Methanosaetaceae). In conclusion, for extraction of high amounts of microbial DNA with high purity from samples of biogas plants, a combined lysozyme/SDS-based cell lysis followed by a purification step with sephacryl columns is recommended. Copyright 2010 Elsevier GmbH. All rights reserved.

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Year:  2010        PMID: 20097028     DOI: 10.1016/j.syapm.2009.11.004

Source DB:  PubMed          Journal:  Syst Appl Microbiol        ISSN: 0723-2020            Impact factor:   4.022


  8 in total

1.  Biases during DNA extraction affect bacterial and archaeal community profile of anaerobic digestion samples.

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2.  Ammonia-oxidizing microbial communities in reactors with efficient nitrification at low-dissolved oxygen.

Authors:  Colin M Fitzgerald; Pamela Camejo; J Zachary Oshlag; Daniel R Noguera
Journal:  Water Res       Date:  2014-12-03       Impact factor: 11.236

3.  Community Composition and Ultrastructure of a Nitrate-Dependent Anaerobic Methane-Oxidizing Enrichment Culture.

Authors:  Lavinia Gambelli; Simon Guerrero-Cruz; Rob J Mesman; Geert Cremers; Mike S M Jetten; Huub J M Op den Camp; Boran Kartal; Claudia Lueke; Laura van Niftrik
Journal:  Appl Environ Microbiol       Date:  2018-01-17       Impact factor: 4.792

4.  The role of different methanogen groups evaluated by Real-Time qPCR as high-efficiency bioindicators of wet anaerobic co-digestion of organic waste.

Authors:  Deborah Traversi; Silvia Villa; Marco Acri; Biancamaria Pietrangeli; Raffaella Degan; Giorgio Gilli
Journal:  AMB Express       Date:  2011-10-07       Impact factor: 3.298

5.  DNA and RNA Extraction and Quantitative Real-Time PCR-Based Assays for Biogas Biocenoses in an Interlaboratory Comparison.

Authors:  Michael Lebuhn; Jaqueline Derenkó; Antje Rademacher; Susanne Helbig; Bernhard Munk; Alexander Pechtl; Yvonne Stolze; Steffen Prowe; Wolfgang H Schwarz; Andreas Schlüter; Wolfgang Liebl; Michael Klocke
Journal:  Bioengineering (Basel)       Date:  2016-01-13

6.  A pyrosequencing-based metagenomic study of methane-producing microbial community in solid-state biogas reactor.

Authors:  An Li; Ya'nan Chu; Xumin Wang; Lufeng Ren; Jun Yu; Xiaoling Liu; Jianbin Yan; Lei Zhang; Shuangxiu Wu; Shizhong Li
Journal:  Biotechnol Biofuels       Date:  2013-01-15       Impact factor: 6.040

7.  Effect of DNA extraction methods and sampling techniques on the apparent structure of cow and sheep rumen microbial communities.

Authors:  Gemma Henderson; Faith Cox; Sandra Kittelmann; Vahideh Heidarian Miri; Michael Zethof; Samantha J Noel; Garry C Waghorn; Peter H Janssen
Journal:  PLoS One       Date:  2013-09-11       Impact factor: 3.240

8.  Determination of uterine bacterial community in postpartum dairy cows with metritis based on 16S rDNA sequencing.

Authors:  Hao Chen; Kaiqiang Fu; Binbin Pang; Jifang Wang; Huatao Li; Zhongling Jiang; Yanni Feng; Wenru Tian; Rongfeng Cao
Journal:  Vet Anim Sci       Date:  2020-03-20
  8 in total

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